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Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities

Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities

Section titled “Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities”

⚠️ AI 生成 · 建议对照原文 本页为自动整理的学习笔记;关键数据与引用如需引用,请回查 PDF / 官方版本。

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类型 文献 · 更新 2026-07-19

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AI analysis (heuristic fallback, needs-source-verification)

Section titled “AI analysis (heuristic fallback, needs-source-verification)”

Status: metadata_only · Source: metadata

Metadata-only card for Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities.

生成:2026-07-21 · 来源条数 0 · 模型 heuristic · 需人工核验数字

围绕「Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities」的核心问题与动机(待结合全文核验)。

  • 见原文方法章节;以下为基于摘要/摘录的要点提示。
  • 本地摘录暂缺。

与相近工作的关系待核验;请对照 related work。

  • 勿仅凭摘要推断未给出的数值指标。
  1. 这篇工作的输入/输出表示是什么?(Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities)
  2. 训练目标与评测协议各是什么?
  3. 主要失败模式或局限是什么?
  • (本次未抓取到白名单二次解读页)
flowchart LR
A["输入 / 观测"] --> B["表示 / 编码"]
B --> C["推理 / 解码"]
C --> D["输出 / 动作或检测"]
%% method sketch for: Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements,

方法结构示意(重绘;细节以原论文为准,待 PDF 核验)。

展开英文 Paper Card / AI deep analysis
Field Content
Year 2024
Authors Carl Orge Retzlaff, Srijita Das, Christabel Wayllace, Payam Mousavi, Mohammad Afshari, Tianpei Yang, Anna Saranti, Alessa Angerschmid, Matthew E. Taylor, Andreas Holzinger
arXiv
DOI 10.1613/jair.1.15348
Topics reinforcement-learning
展开 Extract / Selections / Local assets
  • reinforcement-learning: tier=recent rank=5 score=55 — auto refresh 2026-07-19 sources=openalex
(no PDF text available; metadata-only card)